Jianan Zhao

Andy (Jianan) Zhao

I am currently a third-year PhD candidate in Computer Science at Mila and the University of Montreal, supervised by Prof. Jian Tang. Before embarking on my PhD journey, I completed my MSc in Computer Science at Beijing University of Posts and Telecommunications, under the guidance of Prof. Chuan Shi. I am passionate about developing simple yet effective methods and primarily focus my research on graph machine learning and natural language processing.

Email / Github / Google Scholar / Twitter

Selected Publications

(* stands for equal contribution)

GraphAny: A Foundation Model for Node Classification on Any Graph
Jianan Zhao, Hesham Mostafa, Mikhail Galkin, Michael Bronstein, Zhaocheng Zhu, Jian Tang
The first foundation model for node classification that generalizes to any graph with arbitrary feature and label spaces. GraphAny surpasses supervised baselines (e.g. GCN, GAT) in an inductive (training-free) manner.
Arxiv Preprint, 2024
[paper] [code] [blog]

GraphText: Graph Reasoning in Text Space
Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael Bronstein, Zhaocheng Zhu, Jian Tang
GraphText enables training-free and interactive graph reasoning using LLMs.
Arxiv Preprint, 2023
[paper] [code]

Learning on Large-scale Text-attributed Graphs via Variational Inference
Jianan Zhao*, Meng Qu*, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
[ICLR'23 Notable-top5% (Oral)] International Conference on Learning Representations
Top 1 accuracy of three datasets on the Open Graph Benchmark.
[paper] [code]

HousE: Knowledge Graph Embedding with Householder Parameterization
Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun,
Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
[ICML'22] The International Conference of Machine Learning
[paper] [code]

Self-Supervised Graph Structure Refinement for Graph Neural Networks
Jianan Zhao*, Qianlong Wen*, Mingxuan Ju, Chuxu Zhang, Yanfang Ye
[WSDM'23] : ACM International Conference on Web Search and Data Mining
[paper] [code]

Adaptive Kernel Graph Neural Network
Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Liang Zhao, Yanfang Ye
[AAAI'22] AAAI Conference on Artificial Intelligence
[paper] [code]

Gophormer: Ego-Graph Transformer for Node Classification
Jianan Zhao*, Rui Li*, Qianlong Wen*, Chaozhuo Li, Yiqi Wang, Yuming Liu, Hao Sun, Yanfang Ye, Xing Xie
Arxiv Preprint, 2021
[paper] [code]

RxNet: Rx-refill Graph Neural Network for Overprescribing Detection
Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin Winstanley, Chuxu Zhang, Yanfang Ye
[CIKM'21] ACM International Conference on Information and Knowledge Management
Best Full-Paper Award [1/1251]
[paper]

Multi-View Self-Supervised Heterogeneous Graph Embedding
Jianan Zhao*, Qianlong Wen*, Shiyu Sun, Yanfang Ye, Chuxu Zhang
[ECML/PKDD'21] European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
[paper] [code]

Heterogeneous Graph Structure Learning for Graph Neural Networks
Jianan Zhao*, Xiao Wang*, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye
[AAAI'21] AAAI Conference on Artificial Intelligence
[paper] [code]

Network Schema Preserving Heterogeneous Information Network Embedding
Jianan Zhao*, Xiao Wang*, Chuan Shi, Zekuan Liu, Yanfang Ye
[IJCAI'20] International Joint Conference on Artificial Intelligence
[paper] [code]